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70 Publications
2019 | Published | Conference Paper | IST-REx-ID: 14200 | 
Locatello F, Bauer S, Lucic M, et al. Challenging common assumptions in the unsupervised learning of disentangled representations. In: Proceedings of the 36th International Conference on Machine Learning. Vol 97. ML Research Press; 2019:4114-4124.
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| arXiv
2018 | Published | Conference Paper | IST-REx-ID: 14198 |
Fortuin V, Hüser M, Locatello F, Strathmann H, Rätsch G. SOM-VAE: Interpretable discrete representation learning on time series. In: International Conference on Learning Representations. ; 2018.
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| arXiv
2018 | Published | Conference Paper | IST-REx-ID: 14201 |
Locatello F, Khanna R, Ghosh J, Rätsch G. Boosting variational inference: An optimization perspective. In: Proceedings of the 21st International Conference on Artificial Intelligence and Statistics. Vol 84. ML Research Press; 2018:464-472.
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| arXiv
2018 | Published | Conference Paper | IST-REx-ID: 14202 |
Locatello F, Dresdner G, Khanna R, Valera I, Rätsch G. Boosting black box variational inference. In: Advances in Neural Information Processing Systems. Vol 31. Neural Information Processing Systems Foundation; 2018.
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| arXiv
2018 | Published | Conference Paper | IST-REx-ID: 14203 |
Yurtsever A, Fercoq O, Locatello F, Cevher V. A conditional gradient framework for composite convex minimization with applications to semidefinite programming. In: Proceedings of the 35th International Conference on Machine Learning. Vol 80. ML Research Press; 2018:5727-5736.
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| arXiv
2018 | Published | Conference Paper | IST-REx-ID: 14204 |
Locatello F, Raj A, Karimireddy SP, et al. On matching pursuit and coordinate descent. In: Proceedings of the 35th International Conference on Machine Learning. Vol 80. ML Research Press; 2018:3198-3207.
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| arXiv
2018 | Published | Conference Paper | IST-REx-ID: 14224 |
Locatello F, Vincent D, Tolstikhin I, Ratsch G, Gelly S, Scholkopf B. Clustering meets implicit generative models. In: 6th International Conference on Learning Representations. ; 2018.
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| arXiv
2018 | Submitted | Preprint | IST-REx-ID: 14327 |
Locatello F, Vincent D, Tolstikhin I, Rätsch G, Gelly S, Schölkopf B. Competitive training of mixtures of independent deep generative models. arXiv. doi:10.48550/arXiv.1804.11130
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| arXiv
2017 | Published | Conference Paper | IST-REx-ID: 14205 |
Locatello F, Khanna R, Tschannen M, Jaggi M. A unified optimization view on generalized matching pursuit and Frank-Wolfe. In: Proceedings of the 20th International Conference on Artificial Intelligence and Statistics. Vol 54. ML Research Press; 2017:860-868.
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| arXiv
2017 | Published | Conference Paper | IST-REx-ID: 14206 |
Locatello F, Tschannen M, Rätsch G, Jaggi M. Greedy algorithms for cone constrained optimization with convergence guarantees. In: Advances in Neural Information Processing Systems. ; 2017.
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| arXiv